About Lesson
Induction Class (Optional)
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Introduction of Al
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Programming Elements
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Conditions & Loops
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Data Structures
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Functions & Exception Handling
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Add-on topics
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Basics of AI
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Neural Network Basics
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Backward Propogation
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Loss Function and Error
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Artificial Neural Network
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Important of Data Normalization
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Classification Metrics – Confusion Matrix
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Opencv Basics
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How to save Deep Learning mode
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CNN Basics
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Transfer Learning
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Final Project and Doubt Clearing Session
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Web App Deployment
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Image to Text
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Cascade Classifier
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